Description

• Growing 100% year-over-year
• Our AI product (HOAi) went from $0 to millions in months
• Backed by Cove Hill Partners and JMI Private Equity
• 6M+ doors on our platform, displacing legacy systems

• Conversation Quality: Achieve 85%+ intent recognition accuracy and 80%+ successful conversation completion rates without human intervention.
• System Reliability: Maintain 99.5%+ uptime for voice AI systems with average response latency under 2 seconds.
• Scale & Performance: Successfully deploy systems handling 10,000+ monthly conversations with consistent quality as volume grows.
• User Satisfaction: Achieve Net Promoter Score (NPS) of 40+ for AI-assisted interactions and user satisfaction ratings above 4/5.
• Operational Efficiency: Reduce human handoff rates to under 20% through improved AI accuracy and conversation design.
• Feature Delivery: Ship production-ready features and improvements on schedule while maintaining code quality and test coverage standards.
• AI Safety & Quality: Implement monitoring systems that detect and prevent hallucinations, maintain response accuracy above 90%, and ensure appropriate escalation protocols.
• Team Impact: Contribute to technical documentation, establish best practices for conversational AI development, and mentor team members on ML/NLP approaches.

• Design, build, and deploy production-grade conversational AI systems that handle multi-turn dialogues across voice (telephony/IVR), SMS, and webchat channels with consistent user experiences.
• Develop and optimize natural language processing pipelines for intent classification, entity extraction, and context management in domain-specific community management scenarios (service requests, violation reporting, amenity reservations, payment inquiries).
• Integrate voice AI systems with telephony platforms (Zoom, RingCentral, Microsoft Teams) and conversational AI frameworks (Dialogflow, Amazon Lex, Rasa, or similar) to enable real-time, low-latency conversation handling.
• Implement retrieval-augmented generation (RAG) systems that connect large language models with Vantaca's knowledge base and external APIs, enabling the AI to access real-time community data, work orders, and property information.
• Build and optimize LLM-powered conversation flows using advanced prompt engineering techniques, ensuring accurate, contextually appropriate responses while mitigating hallucinations and maintaining AI safety standards.
• Design robust fallback mechanisms, human handoff protocols, and escalation workflows to ensure seamless transitions when AI confidence is low or situations require human intervention.
• Integrate speech-to-text and text-to-speech systems (Deepgram, AssemblyAI, ElevenLabs, or Google/AWS services) to deliver natural, high-quality voice experiences.
• Deploy and monitor AI agents at scale, implementing A/B testing frameworks to continuously improve conversation flows, response quality, and user satisfaction.
• Collaborate with product managers, UX designers, and customer success teams to understand user needs and translate them into technical requirements and conversation designs.
• Build API-driven microservices architecture that enables the HOAi Voice system to interact with Vantaca's core platform (C#, .NET, SQL) and external integrations.
• Establish monitoring, logging, and analytics infrastructure to track conversation quality, system performance, user satisfaction, and key business metrics.
• Mentor junior engineers and contribute to technical documentation, best practices, and architectural decisions for the HOAi platform.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related technical field required; Master's degree preferred.
• 5+ years of software engineering experience with at least 2+ years building production conversational AI, voice AI, or NLP systems.
• Proven track record deploying and scaling AI systems that handle thousands of real-world user interactions with measurable quality and reliability.
• Deep expertise in natural language processing, intent classification, entity extraction, and multi-turn conversation management.
• Strong experience with Python and ML frameworks (TensorFlow, PyTorch, Transformers, or similar).
• Hands-on experience integrating telephony/IVR systems and building voice-enabled applications.
• Experience with large language models (LLMs), prompt engineering, and retrieval-augmented generation (RAG) architectures.
• Strong understanding of API design, microservices architecture, and cloud infrastructure (AWS, GCP, or Azure) for AI workloads.
• Experience with conversational AI platforms (Dialogflow, Amazon Lex, Rasa, Botpress, or similar).
• Knowledge of speech-to-text and text-to-speech technologies and their production deployment.

• Experience in property management, real estate technology, customer service automation, or similar domain-specific applications.
• Background building AI systems that handle structured workflows (service requests, ticketing, escalations) and integrate with business process automation.
• Experience working in .NET/C#/SQL environments or integrating AI systems with Microsoft-stack applications.
• Knowledge of AI safety, response quality assurance, and bias mitigation in production systems.
• Experience with conversation analytics, A/B testing frameworks, and continuous improvement methodologies for AI systems.
• Previous work in early-stage or high-growth SaaS companies building products from 0 to 1.

• Extreme ownership: Takes full responsibility for outcomes, not just inputs
• Customer-focused: Understands how infrastructure decisions impact end-user experience
• Data-driven: Makes decisions based on metrics and evidence
• Continuous learner: Stays current with evolving technologies and best practices
• Quality-focused: Builds systems that are reliable, maintainable, and elegant
• Velocity-minded: Balances speed with quality; ships incrementally and iterates
• Bar raiser: Sets and maintains high standards; elevates team performance and output quality
• Strong delegator: Empowers others effectively; distributes work based on strengths and growth opportunities

• Always Growing: Likes change and enjoys finding new ways to improve their knowledge and the product. Always ready to learn quickly, helping themselves and the team grow.
• Win as a Team: Builds trust and works together by making sure everyone communicates well. Actively involved in daily work, working closely with the team, listening to their ideas, and celebrating successes together.
• Accountability Starts with Me: Notices problems and takes personal action to solve them.
• Unwavering Commitment to Customer Experience: Regularly talks to customers, taking personal responsibility to understand what they need, address concerns, and make their experience better with improved Vantaca processes.
• Innovate Boldly: We challenge the status quo and push boundaries to create meaningful change. We act with urgency and purpose, knowing that innovation drives our success.

• Our eNPS is +68! (Google it, that is great).
• Benefits: Medical, Dental, and Vision kick in day one.
• Unlimited PTO (with a requirement for employees to take a minimum of one continuous week per year).
• 401K with Company Match.
• Remote Flexible - come to the office when needed.
• Great parental leave benefits.
• Named on Inc 5000 list of America’s Fastest Growing Private Companies.
• Named on Inc 5000 Vet 100 Private Companies list multiple years in a row.
• Winner of Coastal Entrepreneur Award, Technology Category.
• Active employee-led Culture Committee.
• Ongoing industry and professional development trainings available to all employees.
• Multiple leaders on the executive committee recognized as 40 under 40 recipients for contributions to business and community.
• We’re playing offense to win! Our product market fit and our world-class employees make us the leader in our space. We’re building something cool and people like it here.